Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g10/E09783.hea (754 bytes) 
E09783 12 500 5000
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -97 18413 0 I
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -117 -1916 0 II
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19980 0 III
E09783.mat 16x1+24 1000.0(0)/mV 16 0 107 -8517 0 aVR
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13540 0 aVL
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -68 21691 0 aVF
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9241 0 V1
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -156 -31234 0 V2
E09783.mat 16x1+24 1000.0(0)/mV 16 0 9 -996 0 V3
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -48 5803 0 V4
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3569 0 V5
E09783.mat 16x1+24 1000.0(0)/mV 16 0 -146 1258 0 V6
# Age: 77
# Sex: Female
# Dx: 164884008,428750005,425623009,164934002,59931005
# Rx: Unknown
# Hx: Unknown